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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 13971
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    Explanations

    words related to radar technology and surveillance equipment

    oai_token-act-pair · gpt-3.5-turbo

    terms related to surveillance technology and its applications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    acia
    -0.66
    acci
    -0.65
     repaid
    -0.65
    ALSE
    -0.57
     Rebell
    -0.56
     blasphemy
    -0.56
     heirs
    -0.55
     forgiveness
    -0.55
    heit
    -0.54
    ruary
    -0.54
    POSITIVE LOGITS
     detects
    0.65
    camera
    0.62
    intel
    0.61
    devices
    0.61
    effic
    0.59
     microphones
    0.59
    paio
    0.59
     wavelengths
    0.59
     infrared
    0.59
     cameras
    0.59
    Activations Density 1.361%

    No Known Activations